Timber: An SDN based emulation platform for QoE Management Experimental Research

Ahmad, Arslan; Floris, Alessandro; Atzori, Luigi

doi:10.1109/qomex.2018.8463387

Cited by 8 publications

(7 citation statements)

References 14 publications

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“…Furthermore, standardized interfaces to drive information-centric for the collaborative QoE-aware service management and end-to-end slicing are required. The studies in [47,353,357,358] propose architectures for the information centric collaborative QoE management in future networks. However, future studies are required to investigate scalability and effectiveness of QoE-aware collaborative service management.…”

Section: Ott-isp Collaboration For Qoe-based Service Management In 5gmentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

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Section: Ott-isp Collaboration For Qoe-based Service Management In 5gmentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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“…Hence, long/multi-time scale QoE model development for long video streaming session requires future research [268]- [270]. The deployment of the QoE models on top of SDN controller/NFV MANO is another open issue when it comes to network resource management of 5G/6G networks as monitoring QoE to effectively predicts may require additional interfaces in the future network architecture and it may create unnecessary overhead of control traffic in the control plane [215], [241], [271]. Future research should consider the time-varying nature of the QoE and time scale of different network resource optimization for developing new QoE models to be integrated into next-generation networks for QoE monitoring, measurement and management purposes leading to E2E QoE-aware multimedia service delivery.…”

Section: Qoe Model Integration and Qoe Measurementsmentioning

confidence: 99%

Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

et al. 2022

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The multimedia delivery chain consists of multiple stages such as content preparation, content delivery via Over-The-Top delivery network and Internet Service Providers network. Within the multimedia service chain, each stage influences the Quality of Experience (QoE) of the end user. The objective of this work is to provide a comprehensive literature survey with future research challenges and opportunities in the field of time-varying video quality in multimedia service delivery. The contribution of this work is two fold: 1) Survey -we provide a review of state-of-the-art works for video quality models to quantify multiple artifacts into a single QoE metric, pooling strategies for global quality measurements, and Continuous Time-Varying Quality (CTVQ) models; 2) Future Challenges and Directions -we investigate ten major research challenges and future directions based on the state-of-the-art for QoE modelling, QoE-aware encoding/decoding and QoE monitoring/management of multimedia streaming in next-generation networks.

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“…ISPs may perform network-wide QoS monitoring and network policy implementation utilizing the SDN controller. The network-wide operations such as Virtual Surrogate Servers (VSSs) placement for video streaming services, traffic rerouting, link-aggregation, and traffic prioritization can be performed in a QoE-aware fashion for the OTTP services through collaborative QoE management [242]. For example, in the case of a flash crowd appearance, VNF with VSS can be utilized to decrease the network load and end-to-end delay for content retrieval.…”

Section: E Collaborative Service Qoe Management By Ottp and Isp Throu...mentioning

confidence: 99%

“…Based on the solution proposed in [240] and [69], the passive probe can be shared with the ISP. However, the selection of the appropriate monitoring probe frequency OTTP and ISP Collaboration [2], [112], [116], [240], [242] [241], [4], [243], [244] The collaborative QoE-aware service management solutions including the reference architecture, optimization algorithms for the service management and business models.…”

Section: B Ott-isp Collaborative Service Management In Softwarized Ne...mentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

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168

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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Timber: An SDN based emulation platform for QoE Management Experimental Research

Cited by 8 publications

References 14 publications

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

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